AI RESEARCH
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
arXiv CS.AI
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ArXi:2604.16398v1 Announce Type: cross Q-matrices are a cornerstone of theory-driven assessment and learning analytics, making item demands and students' underlying knowledge components and misconceptions explicit and actionable. However, Q-matrices are typically crafted by experts, making them time-consuming to build, prone to subjectivity, and difficult to validate empirically.